As a High-Performance LLM Training Engineer, you will optimize performance for LLM training workloads using NVIDIA's software stack across thousands of GPUs.

NVIDIA seeks an engineer to develop and optimize algorithms for AI workloads using the Megatron Core and NeMo Framework, focusing on large language models. Responsibilities include performance tuning, model training, and contributing to open-source projects.

The role involves driving adoption of Omniverse through technical advisement, collaboration with partners on integration, and leading technical enablement efforts. Responsibilities include developing solutions, engaging with partners, and supporting product launches.

The Senior Datacenter Power Design and Modeling Engineer leads power-delivery programs, managing architecture, modeling, validation, and vendor relationships for data centers.

The role involves managing technical relationships with automotive developers, facilitating product integrations, and driving adoption of NVIDIA's automotive solutions.

The role involves innovating and architecting low power solutions for GPU platforms, requiring cross-functional collaboration and advanced design expertise.

The Solutions Architect will design and scale Kubernetes-native environments for AI/ML workloads, collaborating closely with teams and customers to implement NVIDIA's Physical AI technologies.

As a Principal Software Engineer, you will develop and optimize scalable distributed inference systems, focusing on Kubernetes deployment, dynamic GPU scheduling, and intelligent routing in a high-performance AI environment.

The Developer Relations Manager will lead technical initiatives in capital markets, fostering community engagement and driving growth using NVIDIA technology.

The System Test Engineering Manager will develop manufacturing test solutions, lead technical teams, and enhance production efficiency through innovative methodologies.

Lead the development and strategy for NVIDIA's RAN Digital Twin portfolio, focusing on product lifecycle, architectural strategy, and competitive analysis to enhance performance for telecom operators.

Develops and optimizes embedded Linux solutions for Tegra platforms, integrating software components and improving build infrastructure in collaboration with diverse teams.

The role includes developing technical marketing content for NVIDIA's AI models in autonomous vehicles, engaging with developers and partners, leading workshops, and translating sophisticated AI concepts for diverse audiences.

Lead engineering activities related to productizing Deep Learning models, mentor engineers, optimize DL workloads, and coordinate projects across teams. Requires strong deep learning and algorithmic skills.

Design and develop SOC drivers and automation tools, support OS drivers, collaborate with OEMs, and model architecture for production systems.

Design and build scalable architectures for deep learning inference and deployment, optimizing performance and efficiency in GPU environments.

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

Design, develop, and optimize GPU-accelerated C++/Python libraries and APIs for tensor-network-based quantum simulation. Translate research into production-ready, high-performance distributed software, performance-tune, test, document, and collaborate across product, engineering, and research teams to scale NVIDIA's quantum-HPC platforms.

The role involves creating technical content for NVIDIA's AI platform, collaborating with engineers, and engaging with the developer community on AI topics.

Seeking a Technical Program Manager to drive software releases, collaborate with engineering teams, and ensure product quality amidst dynamic requirements.